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  1. 3 Οκτ 2008 · GROUP BY has a very specific meaning that is distinct (heh) from the DISTINCT function. GROUP BY causes the query results to be grouped using the chosen expression, aggregate functions can then be applied, and these will act on each group, rather than the entire resultset.

  2. 30 Μαΐ 2013 · I had a statement, built of two nested "group by" tables, and it hung... changed to "distinct" and voila! 1.5min execution. I think distinct *pure thumbsuck* only takes one of each result value, where group by takes all results, and summarises the result into unique values.

  3. 29 Αυγ 2024 · In this article, we’ve explored the differences between the GROUP BY and DISTINCT clauses in SQL. GROUP BY is ideal for aggregating data with summary functions, whereas DISTINCT is useful for filtering out duplicate rows.

  4. 26 Ιαν 2017 · Essentially, DISTINCT collects all of the rows, including any expressions that need to be evaluated, and then tosses out duplicates. GROUP BY can (again, in some cases) filter out the duplicate rows before performing any of that work. Let's talk about string aggregation, for example.

  5. 27 Ιουν 2022 · Learn similarities and differences of aggregate functions for Having, Order By, Distinct, Partition By and more in SQL Server, Oracle and PostgreSQL.

  6. 6 Σεπ 2021 · The syntax of the statement is simple: SELECT DISTINCT column. FROM table_name. WHERE [condition]; Here, the WHERE condition is optional. The statement applies both to a single column and multiple columns. The syntax of this statement applied to multiple columns is as follows: SELECT DISTINCT. column_name1, column_name2, column_nameN. FROM.

  7. DISTINCT and UNIQUE, which are synonymous, cause an aggregate function to consider only distinct values of the argument expression. The syntax diagrams for aggregate functions in this chapter use the keyword DISTINCT for simplicity.

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